{"total":16,"rows":[{"id":"2304.08818","title":"Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models","created":"2023-04-18","cited_by_count":1476,"area":"diffusion"},{"id":"2310.12190","title":"DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors","created":"2023-10-18","cited_by_count":471,"area":"diffusion"},{"id":"2205.09853","title":"MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation","created":"2022-05-19","cited_by_count":309,"area":"diffusion"},{"id":"2203.09481","title":"Diffusion Probabilistic Modeling for Video Generation","created":"2022-03-16","cited_by_count":238,"area":"diffusion"},{"id":"2304.14404","title":"Motion-Conditioned Diffusion Model for Controllable Video Synthesis","created":"2023-04-27","cited_by_count":99,"area":"diffusion"},{"id":"2211.14575","title":"Efficient Video Prediction via Sparsely Conditioned Flow Matching","created":"2022-11-26","cited_by_count":55,"area":"diffusion"},{"id":"2403.14148","title":"Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition","created":"2024-03-21","cited_by_count":42,"area":"diffusion"},{"id":"2306.02562","title":"Video Diffusion Models with Local-Global Context Guidance","created":"2023-06-05","cited_by_count":15,"area":"diffusion"},{"id":"2502.12632","title":"MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation","created":"2025-02-18","cited_by_count":14,"area":"diffusion"},{"id":"2602.00869","title":"Improving Flow Matching by Aligning Flow Divergence","created":"2026-01-31","cited_by_count":9,"area":"diffusion"},{"id":"2504.09656","title":"KeyVID: Keyframe-Aware Video Diffusion for Audio-Synchronized Visual Animation","created":"2025-04-13","cited_by_count":8,"area":"diffusion"},{"id":"2403.02827","title":"Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation","created":"2024-03-05","cited_by_count":5,"area":"diffusion"},{"id":"2412.04929","title":"Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction","created":"2024-12-06","cited_by_count":1,"area":"diffusion"},{"id":"2412.05633","title":"Efficient Continuous Video Flow Model for Video Prediction","created":"2024-12-07","cited_by_count":1,"area":"diffusion"},{"id":"2512.21118","title":"STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting","created":"2025-12-24","cited_by_count":1,"area":"diffusion"},{"id":"2610.05349","title":"Learning Conditional Source Distribution via Flow Reversal for Temporal Flow Matching","created":"2026-10-04","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}